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This is the development version of adSplit; for the stable release version, see adSplit.

Annotation-Driven Clustering

Bioconductor version: Development (3.19)

This package implements clustering of microarray gene expression profiles according to functional annotations. For each term genes are annotated to, splits into two subclasses are computed and a significance of the supporting gene set is determined.

Author: Claudio Lottaz, Joern Toedling

Maintainer: Claudio Lottaz <Claudio.Lottaz at klinik.uni-regensburg.de>

Citation (from within R, enter citation("adSplit")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Annotation-Driven Clustering PDF R Script
Reference Manual PDF


biocViews Clustering, Microarray, Software
Version 1.73.0
In Bioconductor since BioC 1.8 (R-2.3) (18 years)
License GPL (>= 2)
Depends R (>= 2.1.0), methods (>= 2.1.0)
Imports AnnotationDbi, Biobase(>= 1.5.12), cluster (>= 1.9.1), GO.db(>= 1.8.1), graphics, grDevices, KEGGREST(>= 1.30.1), multtest(>= 1.6.0), stats (>= 2.1.0)
System Requirements
URL http://compdiag.molgen.mpg.de/software/adSplit.shtml
See More
Suggests golubEsets(>= 1.0), vsn(>= 1.5.0), hu6800.db(>= 1.8.1)
Linking To
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package adSplit_1.73.0.tar.gz
Windows Binary adSplit_1.73.0.zip (64-bit only)
macOS Binary (x86_64) adSplit_1.73.0.tgz
macOS Binary (arm64) adSplit_1.73.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/adSplit
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/adSplit
Bioc Package Browser https://code.bioconductor.org/browse/adSplit/
Package Short Url https://bioconductor.org/packages/adSplit/
Package Downloads Report Download Stats